

import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config

@pytest.fixture(scope='session'     )
def       snake_case__     (       ):



     '''simple docstring'''





     lowercase__       :  Optional[int] =			10
     lowercase__       :  List[str] =			datasets.Features(
         {
             'tokens': datasets.Sequence(datasets.Value('string'     )     ),
             'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']     )     ),
             'answers': datasets.Sequence(
                 {
                     'text': datasets.Value('string'     ),
                     'answer_start': datasets.Value('int32'     ),
                 }     ),
             'id': datasets.Value('int64'     ),
         }     )
     lowercase__       :  Union[str, Any] =			datasets.Dataset.from_dict(
         {
             'tokens': [['foo'] * 5] * n,
             'labels': [[1] * 5] * n,
             'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
             'id': list(range(_A     )     ),
         }      ,	features=_A      ,	)
     return dataset

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[Any]      ,	SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'file.arrow'     )
     dataset.map(cache_file_name=_A     )
     return filename


# FILE_CONTENT + files


snake_case_         =					'''\
    Text data.
    Second line of data.'''

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     lowercase__       :  str =			tmp_path_factory.mktemp('data'     ) / 'file.txt'
     lowercase__       :  Tuple =			FILE_CONTENT
     with open(_A      ,	'w'     ) as f:
          f.write(_A     )
     return filename

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     import bza

     lowercase__       :  Tuple =			tmp_path_factory.mktemp('data'     ) / 'file.txt.bz2'
     lowercase__       :  int =			bytes(_A      ,	'utf-8'     )
     with bza.open(_A      ,	'wb'     ) as f:
          f.write(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     import gzip

     lowercase__       :  int =			str(tmp_path_factory.mktemp('data'     ) / 'file.txt.gz'     )
     lowercase__       :  str =			bytes(_A      ,	'utf-8'     )
     with gzip.open(_A      ,	'wb'     ) as f:
          f.write(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     if datasets.config.LZ4_AVAILABLE:
          import lza.frame

          lowercase__       :  Optional[Any] =			tmp_path_factory.mktemp('data'     ) / 'file.txt.lz4'
          lowercase__       :  Any =			bytes(_A      ,	'utf-8'     )
          with lza.frame.open(_A      ,	'wb'     ) as f:
               f.write(_A     )
          return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[str]      ,	SCREAMING_SNAKE_CASE_						:       List[str]     ):



     '''simple docstring'''





     if datasets.config.PY7ZR_AVAILABLE:
          import pyazr

          lowercase__       :  Union[str, Any] =			tmp_path_factory.mktemp('data'     ) / 'file.txt.7z'
          with pyazr.SevenZipFile(_A      ,	'w'     ) as archive:
               archive.write(_A      ,	arcname=os.path.basename(_A     )     )
          return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Union[str, Any]      ,	SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     import tarfile

     lowercase__       :  Dict =			tmp_path_factory.mktemp('data'     ) / 'file.txt.tar'
     with tarfile.TarFile(_A      ,	'w'     ) as f:
          f.add(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     import lzma

     lowercase__       :  str =			tmp_path_factory.mktemp('data'     ) / 'file.txt.xz'
     lowercase__       :  Any =			bytes(_A      ,	'utf-8'     )
     with lzma.open(_A      ,	'wb'     ) as f:
          f.write(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict      ,	SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     import zipfile

     lowercase__       :  List[str] =			tmp_path_factory.mktemp('data'     ) / 'file.txt.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     if datasets.config.ZSTANDARD_AVAILABLE:
          import zstandard as zstd

          lowercase__       :  int =			tmp_path_factory.mktemp('data'     ) / 'file.txt.zst'
          lowercase__       :  Optional[int] =			bytes(_A      ,	'utf-8'     )
          with zstd.open(_A      ,	'wb'     ) as f:
               f.write(_A     )
          return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[Any]     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			tmp_path_factory.mktemp('data'     ) / 'file.xml'
     lowercase__       :  Union[str, Any] =			textwrap.dedent(
         '\\n    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>\n    <tmx version=\"1.4\">\n      <header segtype=\"sentence\" srclang=\"ca\" />\n      <body>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'     )
     with open(_A      ,	'w'     ) as f:
          f.write(_A     )
     return filename


snake_case_         =					[
    {'''col_1''': '''0''', '''col_2''': 0, '''col_3''': 0.0},
    {'''col_1''': '''1''', '''col_2''': 1, '''col_3''': 1.0},
    {'''col_1''': '''2''', '''col_2''': 2, '''col_3''': 2.0},
    {'''col_1''': '''3''', '''col_2''': 3, '''col_3''': 3.0},
]
snake_case_         =					[
    {'''col_1''': '''4''', '''col_2''': 4, '''col_3''': 4.0},
    {'''col_1''': '''5''', '''col_2''': 5, '''col_3''': 5.0},
]
snake_case_         =					{
    '''col_1''': ['''0''', '''1''', '''2''', '''3'''],
    '''col_2''': [0, 1, 2, 3],
    '''col_3''': [0.0, 1.0, 2.0, 3.0],
}

snake_case_         =					[
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

snake_case_         =					[
    {'''col_1''': '''s0''', '''col_2''': 0, '''col_3''': 0.0},
    {'''col_1''': '''s1''', '''col_2''': 1, '''col_3''': 1.0},
    {'''col_1''': '''s2''', '''col_2''': 2, '''col_3''': 2.0},
    {'''col_1''': '''s3''', '''col_2''': 3, '''col_3''': 3.0},
]

@pytest.fixture(scope='session'     )
def       snake_case__     (       ):



     '''simple docstring'''





     return DATA_DICT_OF_LISTS

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       str     ):



     '''simple docstring'''





     lowercase__       :  Union[str, Any] =			datasets.Dataset.from_dict(_A     )
     lowercase__       :  int =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.arrow'     )
     dataset.map(cache_file_name=_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  str =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.sqlite'     )
     with contextlib.closing(sqlitea.connect(_A     )     ) as con:
          lowercase__       :  Any =			con.cursor()
          cur.execute('CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'     )
          for item in DATA:
               cur.execute('INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)'      ,	tuple(item.values()     )     )
          con.commit()
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.csv'     )
     with open(_A      ,	'w'      ,	newline=''     ) as f:
          lowercase__       :  Union[str, Any] =			csv.DictWriter(_A      ,	fieldnames=['col_1', 'col_2', 'col_3']     )
          writer.writeheader()
          for item in DATA:
               writer.writerow(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  Union[str, Any] =			str(tmp_path_factory.mktemp('data'     ) / 'dataset2.csv'     )
     with open(_A      ,	'w'      ,	newline=''     ) as f:
          lowercase__       :  Union[str, Any] =			csv.DictWriter(_A      ,	fieldnames=['col_1', 'col_2', 'col_3']     )
          writer.writeheader()
          for item in DATA:
               writer.writerow(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[str]      ,	SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     import bza

     lowercase__       :  Dict =			tmp_path_factory.mktemp('data'     ) / 'dataset.csv.bz2'
     with open(_A      ,	'rb'     ) as f:
          lowercase__       :  int =			f.read()
     # data = bytes(FILE_CONTENT, "utf-8")
     with bza.open(_A      ,	'wb'     ) as f:
          f.write(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict      ,	SCREAMING_SNAKE_CASE_						:       List[Any]      ,	SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			tmp_path_factory.mktemp('data'     ) / 'dataset.csv.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int      ,	SCREAMING_SNAKE_CASE_						:       List[Any]      ,	SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     lowercase__       :  Optional[int] =			tmp_path_factory.mktemp('data'     ) / 'dataset.csv.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(csv_path.replace('.csv'      ,	'.CSV'     )     )     )
          f.write(_A      ,	arcname=os.path.basename(csva_path.replace('.csv'      ,	'.CSV'     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple      ,	SCREAMING_SNAKE_CASE_						:       Optional[int]      ,	SCREAMING_SNAKE_CASE_						:       Optional[Any]     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			tmp_path_factory.mktemp('data'     ) / 'dataset_with_dir.csv.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       str     ):



     '''simple docstring'''





     lowercase__       :  Any =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.parquet'     )
     lowercase__       :  Any =			pa.schema(
         {
             'col_1': pa.string(),
             'col_2': pa.intaa(),
             'col_3': pa.floataa(),
         }     )
     with open(_A      ,	'wb'     ) as f:
          lowercase__       :  List[str] =			pq.ParquetWriter(_A      ,	schema=_A     )
          lowercase__       :  List[str] =			pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_A     )     )] for k in DATA[0]}      ,	schema=_A     )
          writer.write_table(_A     )
          writer.close()
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.json'     )
     lowercase__       :  List[Any] =			{'data': DATA}
     with open(_A      ,	'w'     ) as f:
          json.dump(_A      ,	_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[str]     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.json'     )
     lowercase__       :  List[str] =			{'data': DATA_DICT_OF_LISTS}
     with open(_A      ,	'w'     ) as f:
          json.dump(_A      ,	_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.jsonl'     )
     with open(_A      ,	'w'     ) as f:
          for item in DATA:
               f.write(json.dumps(_A     ) + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'dataset2.jsonl'     )
     with open(_A      ,	'w'     ) as f:
          for item in DATA:
               f.write(json.dumps(_A     ) + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			str(tmp_path_factory.mktemp('data'     ) / 'dataset_312.jsonl'     )
     with open(_A      ,	'w'     ) as f:
          for item in DATA_312:
               f.write(json.dumps(_A     ) + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			str(tmp_path_factory.mktemp('data'     ) / 'dataset-str.jsonl'     )
     with open(_A      ,	'w'     ) as f:
          for item in DATA_STR:
               f.write(json.dumps(_A     ) + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int      ,	SCREAMING_SNAKE_CASE_						:       List[Any]     ):



     '''simple docstring'''





     import gzip

     lowercase__       :  Any =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.txt.gz'     )
     with open(_A      ,	'rb'     ) as orig_file:
          with gzip.open(_A      ,	'wb'     ) as zipped_file:
               zipped_file.writelines(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Any      ,	SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     import gzip

     lowercase__       :  str =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.jsonl.gz'     )
     with open(_A      ,	'rb'     ) as orig_file:
          with gzip.open(_A      ,	'wb'     ) as zipped_file:
               zipped_file.writelines(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[str]      ,	SCREAMING_SNAKE_CASE_						:       List[Any]      ,	SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     lowercase__       :  str =			tmp_path_factory.mktemp('data'     ) / 'dataset.jsonl.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[int]      ,	SCREAMING_SNAKE_CASE_						:       List[str]      ,	SCREAMING_SNAKE_CASE_						:       Dict      ,	SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  str =			tmp_path_factory.mktemp('data'     ) / 'dataset_nested.jsonl.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.join('nested'      ,	os.path.basename(_A     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       int      ,	SCREAMING_SNAKE_CASE_						:       Any      ,	SCREAMING_SNAKE_CASE_						:       str     ):



     '''simple docstring'''





     lowercase__       :  List[Any] =			tmp_path_factory.mktemp('data'     ) / 'dataset_with_dir.jsonl.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Union[str, Any]      ,	SCREAMING_SNAKE_CASE_						:       Tuple      ,	SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     lowercase__       :  Any =			tmp_path_factory.mktemp('data'     ) / 'dataset.jsonl.tar'
     with tarfile.TarFile(_A      ,	'w'     ) as f:
          f.add(_A      ,	arcname=os.path.basename(_A     )     )
          f.add(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[int]      ,	SCREAMING_SNAKE_CASE_						:       Tuple      ,	SCREAMING_SNAKE_CASE_						:       Union[str, Any]      ,	SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     lowercase__       :  Dict =			tmp_path_factory.mktemp('data'     ) / 'dataset_nested.jsonl.tar'
     with tarfile.TarFile(_A      ,	'w'     ) as f:
          f.add(_A      ,	arcname=os.path.join('nested'      ,	os.path.basename(_A     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     lowercase__       :  Any =			['0', '1', '2', '3']
     lowercase__       :  Tuple =			str(tmp_path_factory.mktemp('data'     ) / 'dataset.txt'     )
     with open(_A      ,	'w'     ) as f:
          for item in data:
               f.write(item + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     lowercase__       :  Optional[int] =			['0', '1', '2', '3']
     lowercase__       :  str =			str(tmp_path_factory.mktemp('data'     ) / 'dataset2.txt'     )
     with open(_A      ,	'w'     ) as f:
          for item in data:
               f.write(item + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  int =			['0', '1', '2', '3']
     lowercase__       :  int =			tmp_path_factory.mktemp('data'     ) / 'dataset.abc'
     with open(_A      ,	'w'     ) as f:
          for item in data:
               f.write(item + '\n'     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Union[str, Any]      ,	SCREAMING_SNAKE_CASE_						:       Tuple      ,	SCREAMING_SNAKE_CASE_						:       str     ):



     '''simple docstring'''





     lowercase__       :  Tuple =			tmp_path_factory.mktemp('data'     ) / 'dataset.text.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Tuple      ,	SCREAMING_SNAKE_CASE_						:       Optional[int]      ,	SCREAMING_SNAKE_CASE_						:       Optional[int]     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			tmp_path_factory.mktemp('data'     ) / 'dataset_with_dir.text.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
          f.write(_A      ,	arcname=os.path.join('main_dir'      ,	os.path.basename(_A     )     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Optional[Any]      ,	SCREAMING_SNAKE_CASE_						:       str      ,	SCREAMING_SNAKE_CASE_						:       int     ):



     '''simple docstring'''





     lowercase__       :  Optional[Any] =			tmp_path_factory.mktemp('data'     ) / 'dataset.ext.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename('unsupported.ext'     )     )
          f.write(_A      ,	arcname=os.path.basename('unsupported_2.ext'     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Union[str, Any]     ):



     '''simple docstring'''





     lowercase__       :  List[str] =			'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']     )
     lowercase__       :  Optional[Any] =			str(tmp_path_factory.mktemp('data'     ) / 'dataset_with_unicode_new_lines.txt'     )
     with open(_A      ,	'w'      ,	encoding='utf-8'     ) as f:
          f.write(_A     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       ):



     '''simple docstring'''





     return os.path.join('tests'      ,	'features'      ,	'data'      ,	'test_image_rgb.jpg'     )

@pytest.fixture(scope='session'     )
def       snake_case__     (       ):



     '''simple docstring'''





     return os.path.join('tests'      ,	'features'      ,	'data'      ,	'test_audio_44100.wav'     )

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       List[str]      ,	SCREAMING_SNAKE_CASE_						:       List[Any]     ):



     '''simple docstring'''





     lowercase__       :  Optional[int] =			tmp_path_factory.mktemp('data'     ) / 'dataset.img.zip'
     with zipfile.ZipFile(_A      ,	'w'     ) as f:
          f.write(_A      ,	arcname=os.path.basename(_A     )     )
          f.write(_A      ,	arcname=os.path.basename(_A     ).replace('.jpg'      ,	'2.jpg'     )     )
     return path

@pytest.fixture(scope='session'     )
def       snake_case__     (       SCREAMING_SNAKE_CASE_						:       Dict     ):



     '''simple docstring'''





     lowercase__       :  Union[str, Any] =			tmp_path_factory.mktemp('data_dir'     )

     (data_dir / "subdir").mkdir()
     with open(data_dir / 'subdir' / 'train.txt'      ,	'w'     ) as f:
          f.write('foo\n' * 10     )
     with open(data_dir / 'subdir' / 'test.txt'      ,	'w'     ) as f:
          f.write('bar\n' * 10     )
     # hidden file
     with open(data_dir / 'subdir' / '.test.txt'      ,	'w'     ) as f:
          f.write('bar\n' * 10     )

     # hidden directory
     (data_dir / ".subdir").mkdir()
     with open(data_dir / '.subdir' / 'train.txt'      ,	'w'     ) as f:
          f.write('foo\n' * 10     )
     with open(data_dir / '.subdir' / 'test.txt'      ,	'w'     ) as f:
          f.write('bar\n' * 10     )

     return data_dir



"""simple docstring"""



import os
import warnings
from typing import List, Optional

from ...tokenization_utils_base import BatchEncoding
from ...utils import logging
from .configuration_rag import RagConfig


a       :						List[str]       		=		logging.get_logger(__name__)




class 		a_    :







    def __init__(      self      :							List[str]  ,       __UpperCamelCase      :							Any  ,       __UpperCamelCase      :							Tuple  )		->Tuple:






        '''simple docstring'''






        _UpperCAmelCase        = question_encoder
        _UpperCAmelCase        = generator
        _UpperCAmelCase        = self.question_encoder







    def   _snake_case       (      self      :							int  ,       __UpperCamelCase      :							str  )		->Dict:






        '''simple docstring'''






        if os.path.isfile(__UpperCamelCase  ):
            raise ValueError(f"""Provided path ({save_directory}) should be a directory, not a file"""  )
        os.makedirs(__UpperCamelCase  ,       exist_ok=__UpperCamelCase  )
        _UpperCAmelCase        = os.path.join(__UpperCamelCase  ,       """question_encoder_tokenizer"""  )
        _UpperCAmelCase        = os.path.join(__UpperCamelCase  ,       """generator_tokenizer"""  )
        self.question_encoder.save_pretrained(__UpperCamelCase  )
        self.generator.save_pretrained(__UpperCamelCase  )







    @classmethod
    def   _snake_case       (      cls      :							Optional[Any]  ,       __UpperCamelCase      :							Tuple  ,       **__UpperCamelCase      :							Optional[Any]  )		->Tuple:






        '''simple docstring'''






        from ..auto.tokenization_auto import AutoTokenizer

        _UpperCAmelCase        = kwargs.pop("""config"""  ,       __UpperCamelCase  )

        if config is None:
            _UpperCAmelCase        = RagConfig.from_pretrained(__UpperCamelCase  )

        _UpperCAmelCase        = AutoTokenizer.from_pretrained(
            __UpperCamelCase  ,       config=config.question_encoder  ,       subfolder="""question_encoder_tokenizer"""  )
        _UpperCAmelCase        = AutoTokenizer.from_pretrained(
            __UpperCamelCase  ,       config=config.generator  ,       subfolder="""generator_tokenizer"""  )
        return cls(question_encoder=__UpperCamelCase  ,       generator=__UpperCamelCase  )







    def __call__(      self      :							Any  ,       *__UpperCamelCase      :							List[Any]  ,       **__UpperCamelCase      :							Optional[Any]  )		->Optional[Any]:






        '''simple docstring'''






        return self.current_tokenizer(*__UpperCamelCase  ,       **__UpperCamelCase  )







    def   _snake_case       (      self      :							Union[str, Any]  ,       *__UpperCamelCase      :							List[Any]  ,       **__UpperCamelCase      :							Tuple  )		->Any:






        '''simple docstring'''






        return self.generator.batch_decode(*__UpperCamelCase  ,       **__UpperCamelCase  )







    def   _snake_case       (      self      :							Optional[int]  ,       *__UpperCamelCase      :							Optional[int]  ,       **__UpperCamelCase      :							List[str]  )		->Union[str, Any]:






        '''simple docstring'''






        return self.generator.decode(*__UpperCamelCase  ,       **__UpperCamelCase  )







    def   _snake_case       (      self      :							Union[str, Any]  )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase        = self.question_encoder







    def   _snake_case       (      self      :							Tuple  )		->Optional[int]:






        '''simple docstring'''






        _UpperCAmelCase        = self.generator







    def   _snake_case       (      self      :							List[Any]  ,       __UpperCamelCase      :							List[str]  ,       __UpperCamelCase      :							Optional[List[str]] = None  ,       __UpperCamelCase      :							Optional[int] = None  ,       __UpperCamelCase      :							Optional[int] = None  ,       __UpperCamelCase      :							str = "longest"  ,       __UpperCamelCase      :							str = None  ,       __UpperCamelCase      :							bool = True  ,       **__UpperCamelCase      :							Tuple  ,       )		->BatchEncoding:






        '''simple docstring'''






        warnings.warn(
            """`prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the """
            """regular `__call__` method to prepare your inputs and the tokenizer under the `with_target_tokenizer` """
            """context manager to prepare your targets. See the documentation of your specific tokenizer for more """
            """details"""  ,       __UpperCamelCase  ,       )
        if max_length is None:
            _UpperCAmelCase        = self.current_tokenizer.model_max_length
        _UpperCAmelCase        = self(
            __UpperCamelCase  ,       add_special_tokens=__UpperCamelCase  ,       return_tensors=__UpperCamelCase  ,       max_length=__UpperCamelCase  ,       padding=__UpperCamelCase  ,       truncation=__UpperCamelCase  ,       **__UpperCamelCase  ,       )
        if tgt_texts is None:
            return model_inputs
        # Process tgt_texts
        if max_target_length is None:
            _UpperCAmelCase        = self.current_tokenizer.model_max_length
        _UpperCAmelCase        = self(
            text_target=__UpperCamelCase  ,       add_special_tokens=__UpperCamelCase  ,       return_tensors=__UpperCamelCase  ,       padding=__UpperCamelCase  ,       max_length=__UpperCamelCase  ,       truncation=__UpperCamelCase  ,       **__UpperCamelCase  ,       )
        _UpperCAmelCase        = labels["""input_ids"""]
        return model_inputs